Replacing current automatic quality scores is essential to advance the use and performance of NMT systems. A new, human quality index can dramatically improve NMT performance and adoption. Continue reading
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What can secure machine translation do for a USD 10 billion a year technology giant? SDL’s MT solutions delivered exceptional security, reduced costs and consistently accurate translation. Continue reading
Can machines become as good as humans in natural language? Are CAT tools getting far too complicated? Will users increasingly grow comfortable with sacrificing data privacy for personalized digital comfort? These issues are examined with bold quotes and predictions from the memoQ Trend Report 2018. Continue reading
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Translated.net developed an Amazon Alexa skill that translates short phrases from English to 36 languages, giving end users access to translation technology used in the professional space and opening up a lot of possibilities in the future. Continue reading
Efficiency boost for tens of thousands of translators as MMT launches the first ever adaptive neural machine translation plugin for two of the most widely used translation productivity tools, SDL Trados Studio and MateCat. Continue reading
Very specific requirements, recurring issues, and stringent regulation—these are the hallmarks of the German manufacturing and engineering industry, and this is how tolingo helps German companies get rid of their common translation pain points. Continue reading
Machine translation (MT) trumps human translation when it comes to real-time and dynamic content at large scale, and SDL’s new report highlights the five most common use cases driving enterprise-wide adoption of MT. Continue reading
For Corporates, translation quality is four times more important than cost, but difficulties often impede them from delivering quality at scale. New research shows that stronger connections between teams and technology is key. Continue reading
Tolingo was not always a full translation-as-a-service LSP. Venture capital helped give the company the strategic direction and resource boost it needed to carve its path to success today. Continue reading
SOURCENEXT does what no other company can do: help foreign partners successfully break into the third largest market in the world for online sales—Japan. And localization plays a key role. Continue reading
Stepes is taking its mobile mobile translation model to interpretation with the new Book A Translator feature, combining modern location based services with its pool of 100,000 translators to provide on-site and face-to-face interpretation services in major cities around the world. Continue reading
In the global enterprise, content submitted for machine translation is often highly sensitive. SDL’s engineers and linguists have teamed up to develop neural machine translation that produces high-quality output and can be deployed on-premise or in a Private Cloud with minimal support. Continue reading
Multilingual eDiscovery is a critical component in many global cases. Understanding the specific logistic, linguistic and cultural challenges of working with multilingual content is key to any working group’s success. Continue reading
In 2015, four leading European institutions and companies set out to solve machine translation’s four main problems: training, context, scalability, and data collection. After a brief scare when Google Translate went neural, the project is now in beta and set for enterprise-grade release in Q4 2017. Continue reading
By 2020, close to 750 million Indians will own a smartphone. Rapid adoption opens up a vast new market for companies that know how to talk to consumers in a country with 22 major languages, 13 different scripts, and over 720 dialects. Continue reading
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